OrchestrAI

October 2016 - December 2016


Notes:
  1. This project won the first prize at the MHacks 2016 hackathon at the University of Michigan, the largest hackathon in the USA at that time.
  2. This startup received initial seed funding from the 1517 Fund. I moved away from this work in December 2016.
  3. Our team presented a 30-minute talk, title 'OrchestrAI and Computational Creativity', at the annual Wolfram Technology Conference in Champaign in October 2016.
  4. Devpost project link.

I was very interested in exploring how we can push the boundaries of our interactions with physical objects and artificial intelligence and explore their intersection in novel use cases. For a long time, I wanted to bring together my passion in playing the violin and machine learning - and so I came up with this idea for designing an AI that learned how I play the violin in my Indian classical (Carnatic) style and improvised with me. Our team was successful in building such a system that I could actually jam and make music with - but we also took it one step further, and used a neural network to get the AI to generate its own classical music compositions. We reached a point where the AI actually played better violin than me! (While I had 12 years of classical music experience, the AI was trained on 150 years of classical music knowledge.)

Tasks Performed:
  1. Design of convolutional neural networks
  2. Violin and Music theory
  3. Signal processing with music data